🦀 🏠 - Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization.
Cross-referenced across 55 tracked directories
#188
Popularity Rank
4 / 55
Listed In
Growing
Adoption Stage
3/26/2025
Created
268
GitHub Stars
Score: 100/100
0 dependency vulnerabilities found
Run an AI-powered security scan to analyze this package's source code for vulnerabilities, prompt injection vectors, data exfiltration risks, and behavior mismatches.
Scans fetch actual source code from the GitHub repository, not just the README.
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📇 ☁️ 🏠 - Token-efficient access to OpenAPI/Swagger specs via MCP Resources.
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📇 🏠 - Privacy-first document search server running entirely locally. Supports semantic search over PDFs, DOCX, TXT, and Markdown files with LanceDB vector storage and local embeddings - no API keys or cloud services required.
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Multi-AI Rules MCP Server - One source of truth for AI coding rules across all AI assistants
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📇 ☁️ 🏠 🍎 🪟 🐧 - Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context summarization.
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33
Forks
13
Open Issues
11/24/2025
Last Commit
Gaining traction in the ecosystem
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